/**
 * Copyright 2020-2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_EXPM1_CPU_KERNEL_H_
#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_EXPM1_CPU_KERNEL_H_

#include <complex>
#include <vector>
#include <map>
#include "plugin/device/cpu/kernel/cpu_kernel.h"
#include "plugin/factory/ms_factory.h"

using complex64 = std::complex<float>;
using complex128 = std::complex<double>;

namespace mindspore {
namespace kernel {
class Expm1CpuKernelMod : public NativeCpuKernelMod {
 public:
  Expm1CpuKernelMod() = default;
  ~Expm1CpuKernelMod() override = default;

  bool Init(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;
  int Resize(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override {
    int ret = KRET_OK;
    if ((ret = KernelMod::Resize(inputs, outputs)) != 0) {
      return ret;
    }
    return KRET_OK;
  }

  bool Launch(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace,
              const std::vector<KernelTensor *> &outputs) override;

  std::vector<KernelAttr> GetOpSupport() override {
    static const std::vector<KernelAttr> support_list = {
      KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeFloat16),
      KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
      KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat64),
      KernelAttr().AddInputAttr(kNumberTypeComplex64).AddOutputAttr(kNumberTypeComplex64),
      KernelAttr().AddInputAttr(kNumberTypeComplex128).AddOutputAttr(kNumberTypeComplex128)};
    return support_list;
  }

 private:
  template <typename T>
  void LaunchKernel(const std::vector<KernelTensor *> &inputs,
                    const std::vector<kernel::KernelTensor *> &outputs) const;

  TypeId input_dtype_{kTypeUnknown};
};
}  // namespace kernel
}  // namespace mindspore

#endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_EXPM1_CPU_KERNEL_H_
